xvirobotics/metaskill

evaluate-model

Load the latest model checkpoint, run evaluation on the test set, and generate a metrics report with confusion matrix. Use this after training to assess model performance or to re-evaluate a specific checkpoint.

generate-report

Generate a comprehensive summary report of the latest experiment including metrics, plots, and comparison with baseline. Use this after training and evaluation to create a shareable experiment summary.

run-pipeline

Run the full data science pipeline: validate raw data, preprocess, engineer features, train model, and evaluate. Use this when you want to execute the end-to-end ML pipeline or re-run it after data or code changes.

api-test

Run API integration tests against the running backend, verify endpoints return expected responses and status codes. Use after deploying a preview or starting the dev server.

build-and-test

Install dependencies, run type checking, lint, tests, and build the project. Use after making code changes to verify nothing is broken.

deploy-preview

Build Docker images and launch a local preview environment with docker-compose. Use to test the full stack locally before merging.

build-and-test

Build the Xcode project and run the full test suite. Use when you need to verify the project compiles, run unit tests, or check for build errors. Reports pass/fail results with detailed error output.

run-simulator

Build and launch the app in the iOS Simulator. Automatically selects an appropriate simulator device, boots it if needed, and installs and launches the app.

metaskill

The meta-skill: create AI agent teams, individual agents, or custom skills for any project. Use when the user wants to generate a complete .claude/ agent team, create a single agent, or create a single skill.